{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Importing the libraries \n",
    "import cv2\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "\n",
    "def connected_component_label(path):\n",
    "    \n",
    "    # Getting the input image\n",
    "    img = cv2.imread(path, 0)\n",
    "    # Converting those pixels with values 1-127 to 0 and others to 1\n",
    "    img = cv2.threshold(img, 127, 255, cv2.THRESH_BINARY)[1]\n",
    "    # Applying cv2.connectedComponents() \n",
    "    num_labels, labels = cv2.connectedComponents(img)\n",
    "    \n",
    "    # Map component labels to hue val, 0-179 is the hue range in OpenCV\n",
    "    label_hue = np.uint8(179*labels/np.max(labels))\n",
    "    blank_ch = 255*np.ones_like(label_hue)\n",
    "    labeled_img = cv2.merge([label_hue, blank_ch, blank_ch])\n",
    "\n",
    "    # Converting cvt to BGR\n",
    "    labeled_img = cv2.cvtColor(labeled_img, cv2.COLOR_HSV2BGR)\n",
    "\n",
    "    # set bg label to black\n",
    "    labeled_img[label_hue==0] = 0\n",
    "    \n",
    "    \n",
    "    # Showing Original Image\n",
    "    plt.imshow(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))\n",
    "    plt.axis(\"off\")\n",
    "    plt.title(\"Orginal Image\")\n",
    "    plt.show()\n",
    "    \n",
    "    #Showing Image after Component Labeling\n",
    "    plt.imshow(cv2.cvtColor(labeled_img, cv2.COLOR_BGR2RGB))\n",
    "    plt.axis('off')\n",
    "    plt.title(\"Image after Component Labeling\")\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "connected_component_label('C:/Users/Yash Joshi/OG_notebooks/face.jpg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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kbE5GduLi4h66awKASqXC66+/LkNEyoDNycjOyy+/DK1W+9B2lUqFWbNmyRCRMmBzMrITHx8vdwiKhM3JMAqFzckoGmdnZ4SGhsodhiywORnZISLs3r1bb1pISAhWrFhh4YiUAZvTwgghsGTJEnTu3Bljx47FhAkT0LFjR7nDkhWNRoO3335b7jAUB49KsTBCCCxatAh/+MMf0L59e9jb2+PGjRsYOnSo5DISTOuEzWlB7OzskJiYCFdXV0RERNRtDwgIgJOTk4yRKRshBIQQRg1fs7Oz09tMYxXwTAiWU3x8PGm1Wr1TgGRlZcken5wKDAyUnP1Po9HQ+++/bzAPOzs76tChQwPl5ubSI488ouhZHHiCL5np3LkzvL2962YWeJABAwZYOCJl8euvv2LixIl62zzt7Owe6kHk7u6O/v37N9jWrl077NmzR2/eiYmJmDRpEq5du2bawM0Im9NCzJ07t0FVlmkeUVFRmDdvXl31Njg4GIsWLWrW8TNnzsS7775rxihNC5tTAfz5z3/G/fv35Q5D0Tz33HN47rnnWpTHiBEjsHfvXpw+fdpEUZkXNqcFGDlyJCZMmCCZ/s9//hOVlZUWjEhZ2Nvb48SJE/Dy8jLr9/Tp0wehoaFsTkaHEAIdOnSQXLD3jTfewJkzZywcleWws7NrMBG1j48PUlJSGuwjhEC7du0kn8dNhVqttq43t/y2tnF5enqSh4cHPfLII0YtgNS/f3/JN7RERDNmzJC9jOaQnZ0dhYaG0ltvvUVarbaBLIlWq6WrV69SZmYmLVq0SPbzok/Eb2ubh5OTE4YNG4aRI0dCo9Fg6NCh+OSTT1BUVITbt28jKSmpSfnUttHp45dffsH169dNGbYiGDx4MHx9fbFz506Lfm9FRQUOHz7cYJtarcbzzz9v0ThMBZtTgrZt2+LAgQMNtn333XcAgCtXrmDLli3Yt28f0tPTJfNwdnbGtGnTJNMPHDiAQ4cOmSRepTB27FisX78evr6+Zv+uCxcuYP/+/XWfS0pKsHz5crN/r6XgOYT0IITA7t27MXbs2Eb3S0hIQE5ODiorK/WasG3btsjPz9d77MWLFzFlyhScO3fOFCErht27d2PcuHFmy//NN9/EzZs3AehqHtbycqcxSGIOIX7mlHheqqqqavJzjUajodTUVEpNTaWZM2fW5dO2bVvJY3788UfZy2kO7d6925hHwybz2GOPyV5GU4sk/MejUkyAnZ0dwsLCEBYWhnXr1qG4uBi9e/dGZmam3v21Wi3Ky8stHKX5eeONN7Bjxw5cuXKl0f00Gg1KSkrqVFBQAE9PT3h4eMDDwwN///vfLRSxsuFnTj0QEdLS0tCmTRt06tSpWcc6OTnByckJ58+fl3wRlJeXh5EjR5oiVEXxxRdfANBNDN2lS5e6Lnc3b97E3bt36/Y7e/Zso8/iarXarHFaC2xOPRARIiIi0K1bNyxZsgQAMGzYMPj4+DQ5D3O32SmZMWPGYMuWLXB0dASge5H24Ms1Y3nuueeQlZUFjUZjkvwUjVR9l1rxM6c+TZkyhd5//32TtNMVFxfTn/70J9nLpFRFR0fTb7/9pvfcabVacnZ2lj1GU0rKf/y2thkIIer6d44fP77Rqpkh7t27h4SEBADAggULkJGRYYoQbYazZ8+ib9++D20nIri6uqKiokKGqMwD8dta08rLy4tCQ0Pp4sWLLe75kpubS5mZmXTkyBHZy6UUnT17ttXfOdmcLZRKpSJHR0cKCwujO3fuUGlpqdEm1Wq1VFFRQZ999hl5e3uTt7e37OWTS42ZMyAgQPb4TCk2p4W0bNkyo82pj9/97ncUFhYme7ksrS1btlB1dbXec5Kfny97fKYUm9MCCgkJof3795vUnES6au+QIUNkL5+lVVhY2KrNyZ0QTEi/fv0kV8zas2eP0S99AgMDERcXh3Xr1qFnz54tCZGxIticJuLRRx/F0qVLJdNPnDiBF198EUOGDMH48eObnf9jjz0GZ2fnun6lTCuAq7WmUY8ePSSrpRqNhl577bW6fWtniXvvvfeourqaqqurm/S2t6ioiIYOHSp7WS2lxqq1xoytVaok/cfmbLmEEDRkyBBJU23atIlq2owfOs7Ozo7s7OwoNTWVcnNz6c6dO5L5FBYWtipzXrp0Se+PllarpcTERNnjM5XYnGaUm5ub5J2vqKioWSPwo6Ki6PDhw5SXl/dQXosXL5a9rJaUk5MTJSQk6D2vSUlJssdnKkn5j/vWmpnLly/js88+a/L+iYmJGDZsGKZOnYq+fftCpVJhwoQJNjFusblUVlZi+vTpuHTpUoPtFRUV+Nvf/iZTVBaE75wt19dffy1552xp9cvBwYFGjx5NISEh1Lt3b9nLamm1adOGvvzyywZV2mnTpskelykl5T/uW2sCioqK4OnpqXf7oEGDGp3KhDFM27Zt0blz57rPycnJaOy6tTZIom8tm7OFHDt2DE899ZTeIWL5+fnw9vaWISrGmpAyJ7dztpA2bdroNSYRWdW6HIzyYHO2gIiICL3V2VqefPJJC0bD2BpszhYQGhoKV1dXvWmxsbE83QbTIticLaBDhw6Si95+8cUXVjuVRlxcnNwhMFCYOZ2cnHDhwgWsXbvWLPl36tQJn3/+ucnyi4qK0rv4jrW+SYyNjUVaWhpefvllpKWl1c2fxMiEEto5nZ2d6eTJk3T//n3SarVUXV1NJSUlVFJSQhERES3O39XVlW7cuEGlpaUN8s7LyyMnJyej863twVJUVNSgbfOFF17Q211Pyfr4448fGj9ZVVVFr7zyiuyx2boU3UMoLi4OgwYNqvvs4OAAd3d3ALo2rQEDBiA5OdmovIOCghAfH99gla/avGNiYlBVVWV03JWVlXj88cfh4uJSNx8QANy+fduq7p5eXl4IDAxssBoYAKhUKqhUKpmiYhRx59y8ebPe3jW1lJaW0ogRI5qdb7du3ejEiROS+drifDTGaOLEiZLnaM6cObLHZ+uS8p+injmlcHV1xebNmxtdgPZBunTpgtjYWG7OYKwWRZhzzZo1kksX1OLn5yc5y8CD+Pr6Yvv27RgyZEij+82cObNF1VqGMStKqNYCoICAACooKGi0eltSUmLwBYVKpaLs7OxG89FqtfTqq6+SSqWSvUqjBHG1Vl4pvlp748YNBAcH4969e5L7uLu7IzY2FuPHj69bh6N+mo+PD7KzsxEcHCyZR2VlJd5991188803qK6uNln8DGNqFGNOQLf4aUREBC5fviy5j4ODA3bt2oUxY8bU9Wn18/PD1q1bcefOHQQEBEiuU1JWVobVq1dj5cqVVvU2lWmlKKVaW1/h4eGUlJRksGr60ksvkZ+fH23fvr3RfYmIqquraenSpbJXYZQortbKK0n/KdGcAKh///507ty5Rg1XWlpKe/bsMWhMIqL58+fL/k9Qqtic8krKf4qq1tYnOTkZkyZNQk5OjuQ+rq6uBpeGB4AZM2bgr3/9qynDYxizo1hzAsClS5fQv39/lJSUGHW8VqvFnDlzsHXrVqvthM60XhRtTgC4e/cugoKCkJeX16zjysvL8eGHH2L9+vU8dIuxShRvTkA3F8+TTz6JtLS0Ju1fXl6OtWvX4tNPPzVzZAxjPqzCnABQXFyMlJSUJu1769YtLF682MwRMYx5UcSoFEO4uLhgw4YNiI6ObtL+Pj4+WLhwIVatWmXmyJSFEAIbNmx4qIOGIUJCQiTTpk6digEDBjQ7lvLycsyePbvZxzH1UGpTSn1JzfrdGEVFRfT666/LHrulFBcXR8nJyS1aYduUqNVqSkpKoo8//lj2c6N0kbW1cwK6frKJiYlGX3Dl5eUUExNjdQOfm6vly5dTVVVViw1lDiorK2nevHmynyMli6ytndPb2xv79+9HZGSkZHc8Qzg7O2Pbtm0YPXp0s6t61kKbNm0QEBCg2EHRjo6OcHZ2ljsMq0SRV2yHDh2wbt06PPPMM40as6KiAj/88APOnz8vuY8QAj/88ANeeOEFc4QqO5GRkQ1mkWBsCKlbKslUrfX29qYdO3YYrC5ptVp65513CNB19TPUF7eqqspmu6KtXbvW+HqnBVi4cKHs50jJImt45lSpVHTw4MEm/cNfffXVBs+S4eHhlJ6e3ugxRUVFNnmh9OnThy5cuGCcc8zMTz/9RF26dJH9HClZZA0LGSUmJhp8xiQizJw5E1u2bHloPGbHjh2RnJwMHx8fyWP37t1r1LLvSic4OFhygmtDjBo1SnKZwmXLlmHHjh1Gx1VcXIwbN24YfXxrgCTWSlHEndPFxYUSEhIafSurVqupsLCQ3nrrrUaXHPfw8NC7XLlWq6WkpCRydHSU/ZdSaeJRKfJKyn+KeCG0fv16DBw4UPKOqdFosHPnTnh5eWHNmjXQarWSeZWUlKB79+64evVqg+2nT59GZGQkzxnEWA2ym7N79+7o1KmTZDoRYcuWLZg0aVKT87x58yaef/55nD17FgDwr3/9y+BkXwyjNGTvvufq6goXFxfJ9FWrVuG9995rdr5paWmYNWsWBg8ejK1bt6K8vLwlYTKMxZHdnGfOnMHFixfRv3//h9KWLVuGFStWGD3kKykpCUlJSS0NkWFkQfZqLQAsWLAAKSkpdZNuERHWrl2L5cuXo7S0VOboGEYeZL9zAsC9e/fQr18/pKeno02bNjh48CDeeuutRl/8MIytowhzAro3sl27dpU7DIZRDIqo1jIM8zBsToZRKGxOhlEobE6GUShsToZRKGxOBjdv3sS1a9fkDoN5ADYng59++gm7du2SOwzmAdicDADg+++/f2i6l6NHj+Lw4cMyRcQoarA1Iy+dOnWCp6dn3ed79+4hNzdXxohaB1KDrdmcjM3i5OQEZ2dnHD9+HAMHDoRarVbkauZS5uRqLWOT+Pv7IyEhAQUFBQgLC0NpaSliY2Mb1AwUjxKmKWGxTK2vv/5a77QrEydOlD22B6XoaUqYhjz11FPo1auX3GFYLZGRkejXr5/cYbQYNqeC8Pf3x969exEXF4eePXvKHY7VYivmVMyQsdZOQkICfH19G51PiWld8J1TZmJjY1FWVoaoqKgGxty6dSvfPVs5bE6ZUalUcHFxeWhaUEdHR/Ts2dOoBZg8PDzQr1+/OqlUKja6FcLVWgXz/fffw8PDA/fv32/S/kIITJ48GT179sQ777xTt33+/PmYO3cuzzRhZbA5ZWbnzp0YPnw4OnbsqDd9yZIlWLRoUaN5jBkzBk899RSEEJg/f/5Dd9u1a9ciMzPTZDEzFoLbOeVXYyt3FxcXSx7XrVs3io+Pp5ycHMnjayktLW01q0zPmTNH8jxYUzsn3zkVwJgxY5Ceno527drpTRdC6FadEqLu2fTKlStwd3eHv79/k77D1dUV4eHhJouZMT/8QkgB3Lp1C3l5eXXz9tbH3d0dKSkp8Pf3x5o1a1BRUYGKigqEhoY22ZgAoFarUVBQYMqwGTPDd06F0LdvX1RUVDy0XQiBsLAw3Lx50+i8//e//yE7OxsvvfRSS0JkLAyb04Y5cuQILl++jLfffhtlZWVyh8M0EzanQlCr1Xj//ffx6aeftiifgoKCumaUY8eOISMjwxThMTLA5lQIBw4cgJ+fX4vyGD16NH777TecOXPGRFExcsKDrWVCpVIB0C1xOHHiRHh7ezerNxAR1Q0c/uCDD7Bx40bk5+fbzPoyDg4OcHV1RWZmpuSiylI4OzvDw8NDb1pxcTEqKyubHU9eXh769esHrVYLjUbT7OMbg5S87HxrUlBQEEVFRZFGoyGNRkNardZgG+WDXL9+nc6cOUNCCKr5AbUptW/fni5cuEAajabZ58ZcaLVa0mg0tGnTJnJ3dzdpeUnKf1IJxOY0qbp3707PPvss3blzp8UXSmhoqOzlMae2bdvW4nNkTmbMmGHS8hJ3QpAHf39/TJ06FdHR0XjyySflDkfxDBgwAD169JA7DEXA5jQjbm5u2Lx5M5555hmT5rtmzRqMGzfO6BW/lUxxcTE3+9TAPYTMxL59+3Dq1CmjjPntt9/i4MGDkunR0dFGDSWzBi5fvozs7Gy5w1AE/LbWTGRkZKBLly5N2re8vBwajQY5OTl4/PHHUVVVBSxNoBcAAALBSURBVCEEkpOT9Y7DJCLk5OQgJCTE1GErAmdnZxw9etToeZRUKhWcnJz0plVUVLSoxrFx40YsXLjQpFNsEr+ttawyMjIMvli4e/cupaWlUe/evfXmsXfvXlKr1XqPvXPnjuxlVKpsZVSKbdaNZGbQoEFwd3eXTC8vL8euXbuwaNEi9OrVC6mpqXr3Gzt2rOTzl5OTE37/+9+bJF5GmbA5zUBgYCBiY2P1Vp8+++wzLF68GC+++CI2bdpkMK+VK1fqHa3i4eHR4q5+jMLhaq35VF5eTkREhw4doujoaIqOjiZnZ+dm5eHu7i7ZUSE/P5/mzZsnezmVJlup1nJTihnp1asXhBAoLi7G7du3TZ5/27Zt0adPH5PnyygDrtaakaysLFy9erVFxrx//z4iIyMl06dPn47Zs2cbnT+jXNicVkBhYSGysrL0ptnb28Pe3t7CETGWgM1pBWRlZeH//u//JNMHDhzYrClLGOuAzWklnDt3DocOHdKbFhMTg27dulk4IsbcsDmthIyMDCQlJUmmr169Gt7e3haMiDE3bE4rYsWKFYiPj9fb7rlixQoUFhbKEBVjLticVkRxcTGeffZZXLt2rW5baWkpbty4gVWrVsHHx0fG6BhTw+2cVoZWq8WpU6dw/fp1AMC///1vrFq1SuaoGHPA5rRCJk+eLHcIjAXgai1jcxw9ehTHjh2TO4wWw+ZkbI5Lly7hypUrcofRcrjjO8sW5ebmRj///DNVVFTUafXq1eTo6Ch7bA9Kyn88EwLDyAxJzITA1VqGUShsToZRKGxOhlEobE6GUShsToZRKGxOhlEobE6GUShsToZRKGxOhlEobE6GUShsToZRKGxOhlEobE6GUShsToZRKGxOhlEobE6GUSiNDrZmGEY++M7JMAqFzckwCoXNyTAKhc3JMAqFzckwCoXNyTAK5f8BiBQh2ZfFgGkAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "connected_component_label('C:/Users/Yash Joshi/OG_notebooks/crosses.jpg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "connected_component_label('C:/Users/Yash Joshi/OG_notebooks/shapes.png')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
